Publications of CE Rasmussen
All genres
Journal Article (10)
1.
Journal Article
11, pp. 3011 - 3015 (2010)
Gaussian Processes for Machine Learning (GPML) Toolbox. The Journal of Machine Learning Research 2.
Journal Article
25 (4), pp. 653 - 664 (2010)
Dirichlet Process Gaussian Mixture Models: Choice of the Base Distribution. Journal of Computer Science and Technology 3.
Journal Article
11, pp. 1865 - 1881 (2010)
Sparse Spectrum Gaussian Process Regression. Journal of Machine Learning Research 4.
Journal Article
6 (4), pp. 615 - 628 (2009)
Modeling and Visualizing Uncertainty in Gene Expression Clusters using Dirichlet Process Mixtures. IEEE/ACM Transactions on Computational Biology and Bioinformatics 5.
Journal Article
72 (7-9), pp. 1508 - 1524 (2009)
Gaussian Process Dynamic Programming. Neurocomputing 6.
Journal Article
9, pp. 2035 - 2078 (2008)
Approximations for Binary Gaussian Process Classification. The Journal of Machine Learning Research 7.
Journal Article
: The Need for Open Source Software in Machine Learning. The Journal of Machine Learning Research 8, pp. 2443 - 2466 (2007)
8.
Journal Article
19 (4), pp. 475 - 486 (2006)
Model-based Design Analysis and Yield Optimization. IEEE Transactions on Semiconductor Manufacturing 9.
Journal Article
6, pp. 1935 - 1959 (2005)
A Unifying View of Sparse Approximate Gaussian Process Regression. The Journal of Machine Learning Research 10.
Journal Article
6, pp. 1679 - 1704 (2005)
Assessing Approximate Inference for Binary Gaussian Process Classification. The Journal of Machine Learning Research Book (1)
11.
Book
Gaussian Processes for Machine Learning. MIT Press, Cambridge, MA, USA (2006), 248 pp.
Book Chapter (1)
12.
Book Chapter
Chapelle, O.; DeCoste, D.; Weston, J.). MIT Press, Cambridge, MA, USA (2007)
Approximation Methods for Gaussian Process Regression. In: Large-Scale Kernel Machines, pp. 203 - 223 (Eds. Bottou, L.; Proceedings (1)
13.
Proceedings
Pattern Recognition: 26th DAGM Symposium: Tübingen, Germany, August 30 - September 1, 2004 (Lecture Notes in Computer Science, 3175). 26th Pattern Recognition Symposium, Tübingen, Germany, August 30, 2004 - September 01, 2004. Springer, Berlin, Germany (2004), 581 pp.
Conference Paper (34)
14.
Conference Paper
Additive Gaussian Processes. In: Advances in Neural Information Processing Systems 24, pp. 226 - 234 (Eds. Shawe-Taylor, J.; Zemel, R.; Bartlett, P.; Pereira, F.; Weinberger, K.). Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011), Granada, Spain. Curran, Red Hook, NY, USA (2012)
15.
Conference Paper
Gaussian Mixture Modeling with Gaussian Process Latent Variable Models. In: DAGM 2010: Pattern Recognition, pp. 271 - 282 (Eds. Goesele, M.; Roth, S.; Kuijper, A.; Schiele, B.; Schindler, K.). 32nd Annual Symposium of the German Association for Pattern Recognition (DAGM 2010), Darmstadt, Germany, September 22, 2010 - September 24, 2010. Springer, Berlin, Germany (2010)
16.
Conference Paper
Gaussian process change point models. In: 27th International Conference on Machine Learning (ICML 2010), pp. 927 - 934 (Eds. Fürnkranz, J.; Joachims, T.). 27th International Conference on Machine Learning (ICML 2010), Haifa, Israel, June 21, 2010 - June 24, 2010. Omnipress, Madison, WI, USA (2010)
17.
Conference Paper
9, pp. 868 - 875 (Eds. Teh, Y.; Titterington , M.). Thirteenth International Conference on Artificial Intelligence and Statistics (AI & Statistics 2010), Chia Laguna Resort, Sardinia, Italy, May 13, 2010 - May 15, 2010. JMLR, Madison, WI, USA (2010)
State-Space Inference and Learning with Gaussian Processes. In: JMLR Workshop and Conference Proceedings, Vol. 18.
Conference Paper
Probabilistic Inference for Fast Learning in Control. In: Recent Advances in Reinforcement Learning: 8th European Workshop, EWRL 2008, Villeneuve d’Ascq, France, June 30-July 3, 2008, pp. 229 - 242 (Eds. Girgin, S.; Loth, M.; Munos, R.; Preux, P.; Ryabko, D.). 8th European Workshop on Reinforcement Learning (EWRL 2008), Villeneuve d‘Ascq, France, June 30, 2008 - July 03, 2008. Springer, Berlin, Germany (2008)
19.
Conference Paper
Approximate Dynamic Programming with Gaussian Processes. In: 2008 American Control Conference, pp. 4480 - 4485. 2008 American Control Conference (ACC 2008), Seattle, WA, USA, June 11, 2008 - June 13, 2008. IEEE Service Center, Piscataway, NJ, USA (2008)
20.
Conference Paper
Model-Based Reinforcement Learning with Continuous States and Actions. In: Advances in computational intelligence and learning: 16th European Symposium on Artificial Neural Networks, pp. 19 - 24 (Ed. Verleysen, M.). 16th European Symposium on Artificial Neural Networks (ESANN 2008), Bruges, Belgium, April 23, 2008 - April 25, 2008. d-side, Evere, Belgium (2008)